Created more code to preprocess the raw data into cohesive dataframes ready for machine learning. Outputs three pickles that contain three dataframes: a df that drops all missing values rows and keeps outage outlier event, df that removes outage outlier event and imputes missing data, and a df that has the weather data setup for the task0 week to be predicted on.
Created more code to preprocess the raw data into cohesive dataframes ready for machine learning. Outputs three pickles that contain three dataframes: a df that drops all missing values rows and keeps outage outlier event, df that removes outage outlier event and imputes missing data, and a df that has the weather data setup for the task0 week to be predicted on.